Some example projects that uses neuralnetworks library
iris.csvUCI Machine Learning Repository
Run using lein repl
(use 'examples.iris.app)
(use 'examples.iris.csv)
; setup initial thetas
(def init-thetas (initial-thetas))
; shuffle and split iris.csv into training, cross validation and test sets (60%, 20%, 20%)
(def processed-csv (process-csv))
; to train and run neural networks using `vectorz` implementation
(run processed-csv init-thetas :vectorz)Using both :persistent-vector (core.matrix default),
:ndarray, :vectorz and :clatrix implementation (all using the same initial thetas and same
shuffled csv file)
persistent-vector
| :iteration | :training-error | :cv-error | :test-error | :training-time |
|------------+-----------------+-----------+-------------+----------------|
| 0 | 1.957541 | 2.008086 | 2.022220 | 0 |
| 100 | 0.642222 | 0.597090 | 0.508589 | 3994 |
| 200 | 0.368939 | 0.401693 | 0.249231 | 8928 |
| 400 | 0.198466 | 0.276737 | 0.087201 | 17755 |
| 800 | 0.128815 | 0.216054 | 0.031734 | 34553 |
| 1600 | 0.098140 | 0.218428 | 0.015926 | 70452 |
| 3200 | 0.075886 | 0.224617 | 0.008630 | 148290 |
ndarray
| :iteration | :training-error | :cv-error | :test-error | :training-time |
|------------+-----------------+-----------+-------------+----------------|
| 0 | 1.957541 | 2.008086 | 2.022220 | 0 |
| 100 | 0.642222 | 0.597090 | 0.508589 | 3460 |
| 200 | 0.368939 | 0.401693 | 0.249231 | 8068 |
| 400 | 0.198466 | 0.276737 | 0.087201 | 16085 |
| 800 | 0.128815 | 0.216054 | 0.031734 | 31441 |
| 1600 | 0.098140 | 0.218428 | 0.015926 | 62782 |
| 3200 | 0.075886 | 0.224617 | 0.008630 | 133452 |
vectorz
| :iteration | :training-error | :cv-error | :test-error | :training-time |
|------------+-----------------+-----------+-------------+----------------|
| 0 | 1.957541 | 2.008086 | 2.022220 | 0 |
| 100 | 0.642222 | 0.597090 | 0.508589 | 2909 |
| 200 | 0.368939 | 0.401693 | 0.249231 | 6599 |
| 400 | 0.198466 | 0.276737 | 0.087201 | 13050 |
| 800 | 0.128815 | 0.216054 | 0.031734 | 25378 |
| 1600 | 0.098140 | 0.218428 | 0.015926 | 51255 |
| 3200 | 0.075886 | 0.224617 | 0.008630 | 108396 |
clatrix
| :iteration | :training-error | :cv-error | :test-error | :training-time |
|------------+-----------------+-----------+-------------+----------------|
| 0 | 1.957541 | 2.008086 | 2.022220 | 0 |
| 100 | 0.642222 | 0.597090 | 0.508589 | 3033 |
| 200 | 0.368939 | 0.401693 | 0.249231 | 6881 |
| 400 | 0.198466 | 0.276737 | 0.087201 | 13512 |
| 800 | 0.128815 | 0.216054 | 0.031734 | 26429 |
| 1600 | 0.098140 | 0.218428 | 0.015926 | 53129 |
| 3200 | 0.075886 | 0.224617 | 0.008630 | 112705 |
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